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| Content Provider | IET Digital Library |
|---|---|
| Author | Lin, Faa Jeng Tan, Kuang Hsiung Fang, Dun Yi Lee, Yih Der |
| Abstract | An intelligent controlled three-phase squirrel-cage induction generator (SCIG) system for grid-connected wind power application using wavelet fuzzy neural network (WFNN) is proposed in this study. First, the indirect field-oriented mechanism is implemented for the control of the SCIG system. Then, an AC/DC power converter and a DC/AC power inverter are developed to convert the electric power generated by a three-phase SCIG from variable-voltage and variable-frequency to constant-voltage and constant-frequency. Moreover, the intelligent WFNN controller is proposed for both the AC/DC power converter and DC/AC power inverter to improve the transient and steady-state responses of the SCIG system at different operating conditions. Three online trained WFNNs using backpropagation learning algorithm are implemented as the tracking controllers for the DC-link voltage of the AC/DC power converter and the active power and reactive power outputs of the DC/AC power inverter. Furthermore, the network structure and the online learning algorithm of the WFNN are introduced in detail. Finally, some experimental results are provided to demonstrate the effectiveness of the proposed SCIG system for wind power. |
| Starting Page | 552 |
| Ending Page | 564 |
| Page Count | 13 |
| ISSN | 17521416 |
| Volume Number | 7 |
| e-ISSN | 17521424 |
| Issue Number | Issue 5, Sep (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/7/5 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2012.0201 |
| Journal | IET Renewable Power Generation |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | AC-DC Power Converter Active Power Output Asynchronous Generator Asynchronous Machine Backpropagation Backpropagation Learning Algorithm Constant-frequency Constant-voltage Control of Electric Power System Current Control DC-AC Power Converter DC-AC Power Inverter DC-link Voltage Controller Electric Current Control Electric Power Generation Fuzzy Neural Nets Grid-connected Wind Power Application Indirect Field-oriented Mechanism Integral Transforms Intelligent Controlled Three-phase Squirrel-cage Induction Generator System Intelligent WFNN Controller Machine Vector Control Neurocontrol Neurocontrollers Phase And Gain Control Phase Control Power And Energy Control Power Converter Power Generation Control Power Grid Power Supplies to Apparatus Power System Control Reactive Power Control Reactive Power Output SCIG Tracking Controller Variable-frequency Variable-voltage Wavelet Fuzzy Neural Network Wavelet Transform WFNN Training Wind Power Plant |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment |
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